class_docstr: Computes mean metric.
class_docstr_tok: ["Computes","mean","metric","."]
code: def __init__(
      self,
      key: metric_types.MetricKey,
      feature_key_path: _KeyPath,
      example_weights_key_path: _KeyPath,
  ):
      self._key = key
      self._feature_key_path = feature_key_path
      self._example_weights_key_path = example_weights_key_path
  
file_path: model-analysis/tensorflow_model_analysis/metrics/stats.py
imports: import dataclasses
  from typing import Any, Dict, Iterable, Optional, Tuple, Union
  import apache_beam
  from tensorflow_model_analysis.metrics import metric_types
  from tensorflow_model_analysis.utils import util
label_desc: Use image node_id 1 to create a new _MeanCombiner object from inherited base classes: beam with example: obj = _MeanCombiner(key, feature_key_path, example_weights_key_path)